{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2016:DK2P7CGDAPHASDR5WIDIPEYZ55","short_pith_number":"pith:DK2P7CGD","schema_version":"1.0","canonical_sha256":"1ab4ff88c303ce090e3db206879319ef7acc69aa17442d7a9e6892c4c0ddc561","source":{"kind":"arxiv","id":"1607.07032","version":2},"attestation_state":"computed","paper":{"title":"Is Faster R-CNN Doing Well for Pedestrian Detection?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kaiming He, Liang Lin, Liliang Zhang, Xiaodan Liang","submitted_at":"2016-07-24T11:56:13Z","abstract_excerpt":"Detecting pedestrian has been arguably addressed as a special topic beyond general object detection. Although recent deep learning object detectors such as Fast/Faster R-CNN [1, 2] have shown excellent performance for general object detection, they have limited success for detecting pedestrian, and previous leading pedestrian detectors were in general hybrid methods combining hand-crafted and deep convolutional features. In this paper, we investigate issues involving Faster R-CNN [2] for pedestrian detection. We discover that the Region Proposal Network (RPN) in Faster R-CNN indeed performs we"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1607.07032","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-07-24T11:56:13Z","cross_cats_sorted":[],"title_canon_sha256":"c075ed79d95e4122b8dd02e684b310902271132eb90275a866617a300182c541","abstract_canon_sha256":"b8c7efc75eb4a12f7031a40bbcc770eb5416af61cc801d3f7343d4890a91d466"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:10:23.097033Z","signature_b64":"l3Nxk4VxiGUAmWGIyFMsUB3gl+VHwFDpUtFet1yvPTthsucJfAwNYNiSzXaM48ZyGgnHNmaP9Ta30cKRaZhbCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1ab4ff88c303ce090e3db206879319ef7acc69aa17442d7a9e6892c4c0ddc561","last_reissued_at":"2026-05-18T01:10:23.096500Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:10:23.096500Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Is Faster R-CNN Doing Well for Pedestrian Detection?","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Kaiming He, Liang Lin, Liliang Zhang, Xiaodan Liang","submitted_at":"2016-07-24T11:56:13Z","abstract_excerpt":"Detecting pedestrian has been arguably addressed as a special topic beyond general object detection. Although recent deep learning object detectors such as Fast/Faster R-CNN [1, 2] have shown excellent performance for general object detection, they have limited success for detecting pedestrian, and previous leading pedestrian detectors were in general hybrid methods combining hand-crafted and deep convolutional features. In this paper, we investigate issues involving Faster R-CNN [2] for pedestrian detection. We discover that the Region Proposal Network (RPN) in Faster R-CNN indeed performs we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1607.07032","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1607.07032","created_at":"2026-05-18T01:10:23.096586+00:00"},{"alias_kind":"arxiv_version","alias_value":"1607.07032v2","created_at":"2026-05-18T01:10:23.096586+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1607.07032","created_at":"2026-05-18T01:10:23.096586+00:00"},{"alias_kind":"pith_short_12","alias_value":"DK2P7CGDAPHA","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_16","alias_value":"DK2P7CGDAPHASDR5","created_at":"2026-05-18T12:30:12.583610+00:00"},{"alias_kind":"pith_short_8","alias_value":"DK2P7CGD","created_at":"2026-05-18T12:30:12.583610+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/DK2P7CGDAPHASDR5WIDIPEYZ55","json":"https://pith.science/pith/DK2P7CGDAPHASDR5WIDIPEYZ55.json","graph_json":"https://pith.science/api/pith-number/DK2P7CGDAPHASDR5WIDIPEYZ55/graph.json","events_json":"https://pith.science/api/pith-number/DK2P7CGDAPHASDR5WIDIPEYZ55/events.json","paper":"https://pith.science/paper/DK2P7CGD"},"agent_actions":{"view_html":"https://pith.science/pith/DK2P7CGDAPHASDR5WIDIPEYZ55","download_json":"https://pith.science/pith/DK2P7CGDAPHASDR5WIDIPEYZ55.json","view_paper":"https://pith.science/paper/DK2P7CGD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1607.07032&json=true","fetch_graph":"https://pith.science/api/pith-number/DK2P7CGDAPHASDR5WIDIPEYZ55/graph.json","fetch_events":"https://pith.science/api/pith-number/DK2P7CGDAPHASDR5WIDIPEYZ55/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/DK2P7CGDAPHASDR5WIDIPEYZ55/action/timestamp_anchor","attest_storage":"https://pith.science/pith/DK2P7CGDAPHASDR5WIDIPEYZ55/action/storage_attestation","attest_author":"https://pith.science/pith/DK2P7CGDAPHASDR5WIDIPEYZ55/action/author_attestation","sign_citation":"https://pith.science/pith/DK2P7CGDAPHASDR5WIDIPEYZ55/action/citation_signature","submit_replication":"https://pith.science/pith/DK2P7CGDAPHASDR5WIDIPEYZ55/action/replication_record"}},"created_at":"2026-05-18T01:10:23.096586+00:00","updated_at":"2026-05-18T01:10:23.096586+00:00"}